Re: st: Re: Re: Estimating a model where the dependent variale is a ratio - Folllow up

Re: st: Re: Re: Estimating a model where the dependent variale is a ratio - Folllow up

Date

Fri, 04 Sep 2009 14:28:53 -0400

Thanks Martin,
Thanks Joseph,
Thanks Carlo, your comments helped a lot!!
Just two things:
A.
Concerning Josephs reply:
I tried the following for one year (e.g. year 2000):
glm A C, i (count) family (binomial B)
and I get the result my supervisor wanted me to get.
However, why are you suggesting xtgee?
I assume that you meant that I perform my estimation for several years.
I might try that later, too.
B.
Concerning Carlos comment:

You think I should rather estimate a proportional hazard model (e.g.
stcox or streg)?
I mean you are right, I have data for each individual about its survival
time, county of residence, county where it was diagnosed, age at
diagnoses, etc...
However I would like to see if in high volume counties (that are:
counties where a lot of same cancer types i where detected) people
(suffering from this cancer type i) survive longer.

So I think I have to group the data in the following way:

I have to calculate for each county the average survival time of
individuals diagnosed with cancer type i

Or is this not necessary and I am loosing important information?
Again thanks a lot for your comments!
Best,
Johannes
Joseph Coveney schrieb:

I wrote:
>From the SAS code that you've shown, your major professor seems to be fitting a